Questions tagged [likelihood-ratio]
The likelihood ratio is the ratio of the likelihoods of two models (or a null and alternative parameter value within a single model), which may be used to compare or test the models. If either model is not fully specified then its maximum likelihood over all free parameters is used - this is sometimes called a generalized likelihood ratio.
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Single model for a different data set
I have a single model (e.g generalized Pareto distribution) to test with a different data set (I have a set of different increasing threshold and fit the same model with a data above these threshold). ...
user3423
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Comparing regression models on count data
I recently fit 4 multiple regression models for the same predictor/response data. Two of the models I fit with Poisson regression.
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Have I computed these likelihood ratios correctly?
I'm the author of the ez package for R, and I'm working on an update to include automatic computation of likelihood ratios (LRs) in the output of ANOVAs. The idea is to provide a LR for each effect ...
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Measuring goodness-of-fit in a model that combines two distributions
I have data with a double peak that I'm trying to model, and there's enough overlap between the peaks that I can't treat them independently. A histogram of the data might look something like this:
I'...
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